Benchmark Comparisons of Spike-based Reconfigurable Neuroprocessor Architectures for Control Applications. - Adam Z. Foshie; Charles Rizzo; Hritom Das; Chaohui Zheng; James S. Plank; Garrett S. Rose (ACM Great Lakes Symposium on VLSI, 2022)

Event-Based Camera Simulation Wrapper for Arcade Learning Environment. - Charles Rizzo; Catherine D. Schuman; James S. Plank (ICONS, 2022)

Evaluating Encoding and Decoding Approaches for Spiking Neuromorphic Systems. - Catherine D. Schuman; Charles Rizzo; John McDonald-Carmack; Nicholas D. Skuda; James S. Plank (ICONS, 2022)

The Case for RISP: A Reduced Instruction Spiking Processor. - James S. Plank; Chaohui Zheng; Bryson Gullett; Nicholas D. Skuda; Charles Rizzo; Catherine D. Schuman; Garrett S. Rose (CoRR, 2022)

DVSGesture Recognition with Neuromorphic Observation Space Reduction Techniques. - Charles Rizzo; Luke McCombs; Braxton Haynie; Catherine D. Schuman; James S. Plank (ICONS, 2023)

Neuromorphic Downsampling of Event-Based Camera Output. - Charles Rizzo; Catherine D. Schuman; James S. Plank (NICE, 2023)

Optimizations for a Current-Controlled Memristor- Based Neuromorphic Synapse Design. - Hritom Das; Rocco D. Febbo; Charles P. Rizzo; Nishith N. Chakraborty; James S. Plank; Garrett S. Rose (IEEE J. Emerg. Sel. Topics Circuits Syst., 2023)

The RISP Neuroprocessor - Open Source Support for Embedded Neuromorphic Computing. - James S. Plank; Keegan E. M. Dent; Bryson Gullett; Charles P. Rizzo; Catherine D. Schuman (ICRC, 2024)

Embracing the Hairball: An Investigation of Recurrence in Spiking Neural Networks for Control. - Catherine D. Schuman; Charles P. Rizzo; Garrett S. Rose; James S. Plank (NICE, 2024)

Speed-based Filtration and DBSCAN of Event-based Camera Data with Neuromorphic Computing. - Charles P. Rizzo; Catherine D. Schuman; James S. Plank (CoRR, 2024)

A Neuromorphic Implementation of the DBSCAN Algorithm. - Charles P. Rizzo; James S. Plank (CoRR, 2024)